GitHub Copilot - Talkback Assistant

Instructions for building a modular Python accessibility and speech application with Kivy UI, text-to-speech, speech recognition, and deployment support for Windows, Android, and iOS.

Project Structure

The project is organized as a modular Python application focused on accessibility features:

Core Dependencies

The application uses the following key libraries:

Development Guidelines

When working on this project, follow these principles:

1. **Modular Architecture**: Keep all main functionality in separate modules under `src/`

2. **Accessibility First**: Prioritize screen reader compatibility and speech features

3. **Cross-Platform Support**: Ensure code works on Windows, Android, and iOS where applicable

4. **Dependency Management**: Add new dependencies to `requirements.txt` immediately

Building the Application

Windows Desktop

Use PyInstaller to create standalone executables:

```bash

pyinstaller --onefile --windowed src/main.py

```

Detailed instructions are in `README.md`.

Android

Use Buildozer for Android deployment:

```bash

buildozer android debug

```

iOS

Use kivy-ios toolchain for iOS builds (requires macOS).

Feature Implementation

When adding new features:

1. Create a new module in `src/` for significant functionality

2. Update `requirements.txt` if new dependencies are needed

3. Document the feature in this file

4. Ensure accessibility compliance (keyboard navigation, screen reader support)

5. Test speech output and recognition if applicable

Speech & Audio Features

The application includes:

Integration Capabilities

The platform supports:

Maintenance